Bratislava, Slovak Republic, July 8-11, 2015

Background and Scope


The field of robust control provides the theoretical principles and the numerical tools used to design engineering control systems that give adequate performance in an uncertain environment. Since the 1980s, robust multivariable control theory has developed formal methods that deal with key issues ranging from the early theory of disturbance rejection to stability and performance margins optimization. Robust control theory is built on applied mathematics, operations research (optimization) and computer science (complexity theory and the theory of algorithms). Deeply rooted in rigorous mathematics, the aim of robust control is to develop theoretical and computational tools for versatile practical applications ranging from guidance and control of aerospace systems, to control systems for the manufacturing industries, and control of communication systems. As numerical tractability is a critical issue for realistic applications, new optimization tools will be central to the development of the field.

It is the goal of the symposium to bring together experts from the field of control and optimization with control engineering practitioners. Particular emphasis will be given to new directions and trends in the field.

Topics of the Symposium

Papers are invited within the following fields:

  • Robust Stability and Performance
  • Model and Controller Reduction
  • H-infinity and l1 Optimal Control and Estimation
  • Mu Analysis and Synthesis
  • Parametric Uncertainties
  • Quantitative Feedback Theory
  • Frequency domain methods
  • Integral Quadratic Constraints
  • LMI and Convex Optimization
  • Robust Model Predictive Control
  • Robust Adaptive Control
  • Robust Nonlinear Control
  • Computational Methods
  • Fault Detection in Uncertain Systems
  • H-infinity Identification
  • Identification for Robust Control
  • Iterative Identification and Control
  • Variable Structure Control
  • Robust Control for Distributed Parameter Systems
  • Switched Systems
  • Control applications
     (e.g.: aerospace, automotive, chemical, energy systems,
      mechatronics, robotics, communication technology,
      system biology etc.)